Latest AI and machine learning research in sexual assault for healthcare professionals.
Pathological microenvironments linked to aging, trauma, malignancies, and metabolic disorders significantly hinder bone fractures and frequently result in fracture nonunion, posing substantial worldwide clinical difficulties. Widely prevalent therapies encounter difficulties in addressing diverse anatomical defects and variable illness conditions due to their inflexible designs and limitations in ...
Craniomaxillofacial deformities are primarily caused by congenital anomalies, trauma, or postoperative defects following tumor resection, involving both bone and soft tissues with complex anatomy and substantial individual variability. Traditional repair methods rely on manual design and modeling, which are inefficient, highly subjective, and fail to balance morphological compatibility with mechan...
INTRODUCTION: Although large language models (LLMs) like ChatGPT are increasingly used in clinical reasoning, their reliability in procedural decision...
Bacterial keratitis is a major cause of corneal blindness worldwide, with marked differences in clinical presentation and risk factors across regions....
OBJECTIVE: To evaluate and compare the performance of five large language models (LLMs)-ChatGPT-4o (OpenAI), Claude-3.5-sonnet (Anthropic), Gemini-2.0...
OBJECTIVES: To present a feasible workflow for artificial intelligence (AI)-assisted software engineering in dentistry as a technical innovation repor...
[This corrects the article DOI: 10.1093/sexmed/qfaf101.].
Abdominal trauma with bleeding is a leading cause of post-traumatic death, and detecting free fluid in the abdomen or hemoperitoneum can provide criti...
Dyspnea is a complex symptom measured using subjective patient-reported ratings. Continuous, automated dyspnea measurements are needed, especially in ...
BACKGROUND AND PURPOSE: Technological innovation has played a pivotal role in shaping trauma and orthopaedic surgery. This narrative review examines t...
Miniaturization has emerged as a major technological trajectory in robotic surgery, encompassing single-port systems, flexible endoscopic platforms, c...
OBJECTIVES: To evaluate the performance of Chat Generative Pre-Trained Transformer-4 Omni (ChatGPT-4o) in answering multimodal critical care board rev...
The peculiarities of older individuals related to osteoporosis and hyperostosis may lead to a higher rate of misdiagnosis of rib fractures on computed...
Anterior cruciate ligament (ACL) injury is a prevalent sports-related trauma with significant impact on both professional athletes and young individua...
OBJECTIVE: To develop and validate an interpretable prediction model for delayed diagnosis of benign paroxysmal positional vertigo (BPPV). METHODS: Th...
BACKGROUND: Accurate prehospital trauma triage and communication determine morbidity, mortality, and system efficiency. Advancements in large language...
OBJECTIVES: This study proposes a predictive model that integrates radiological features with multidimensional clinical factors for the accurate predi...
Cervical spine fractures represent a potentially catastrophic consequence of blunt trauma. Early identification of unstable injuries is critical to pr...
BACKGROUND: Point-of-care ultrasound (POCUS) enhances combat survivability, yet civilian standards often fail to address battlefield constraints. This...
Treating wounds that involve multiple types of injury is particularly challenging due to their complex morphology and the diverse mechanical propertie...